Analysis of circadian rhythms by fitting a least squares sine curve

Analysis of circadian rhythms by fitting a least squares sine curve

A method that fits a least squares sine curve to both point and averaged time series data is described. The method includes a full regression analysis and extends the current “cosinor” approach. Developments include estimation of the linear trend and fitting secondary wave forms.

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Veröffentlicht in:Computers in biology and medicine 1984, Vol.14 (2), p.217-223
Hauptverfasser: Hickey, D.S., Kirkland, J.L., Lucas, S.B., Lye, M.
Format: Artikel
Sprache:eng
Schlagworte:
Aged
Biological and medical sciences
Circadian
Circadian Rhythm
Computerized, statistical medical data processing and models in biomedicine
Female
Humans
Integrated
Least-squares
Medical sciences
Medical statistics
Potassium - urine
Rhythm
Sinusoidal
Statistics as Topic
Time Factors
Time-series
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Beschreibung
Zusammenfassung:A method that fits a least squares sine curve to both point and averaged time series data is described. The method includes a full regression analysis and extends the current “cosinor” approach. Developments include estimation of the linear trend and fitting secondary wave forms.
ISSN:0010-4825
1879-0534
DOI:10.1016/0010-4825(84)90008-8